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So this is it, Silicon Valley. | 0:00:10 | 0:00:12 | |
There's Google just down here. | 0:00:14 | 0:00:16 | |
Tesla, Apple's headquarters, Facebook. | 0:00:16 | 0:00:20 | |
And over there in the distance you've got San Francisco. | 0:00:20 | 0:00:24 | |
Airbnb, Uber, Twitter, all based over there. | 0:00:24 | 0:00:28 | |
It's absolutely unbelievable. | 0:00:28 | 0:00:30 | |
The tech gods here are selling us all a brighter future. | 0:00:30 | 0:00:35 | |
We are one global community. | 0:00:35 | 0:00:37 | |
With the technology in our pockets, we can reclaim our cities. | 0:00:37 | 0:00:41 | |
We don't want to be part of the problem. | 0:00:41 | 0:00:43 | |
We are and will continue to be part of the solution. | 0:00:43 | 0:00:46 | |
But Silicon Valley's promise to build a better world | 0:00:47 | 0:00:51 | |
relies on tearing up the world as it is. | 0:00:51 | 0:00:55 | |
They call it disruption. | 0:00:55 | 0:00:57 | |
My name is Jamie Bartlett. | 0:01:00 | 0:01:02 | |
I'm a tech writer. | 0:01:02 | 0:01:03 | |
I want to discover what the reality is | 0:01:03 | 0:01:06 | |
behind Silicon Valley's utopian vision. | 0:01:06 | 0:01:09 | |
Across the world, some communities are fighting back | 0:01:17 | 0:01:21 | |
against Silicon Valley's disruption. | 0:01:21 | 0:01:23 | |
But what are the consequences for the rest of us? | 0:01:27 | 0:01:30 | |
If the world really does end, | 0:01:30 | 0:01:32 | |
there's not going to be a lot of places to run. | 0:01:32 | 0:01:34 | |
VOICEOVER: This former Facebook insider fears for the future. | 0:01:34 | 0:01:37 | |
Within 30 years, half of humanity won't have a job. | 0:01:37 | 0:01:40 | |
And it could get ugly. There could be a revolution. | 0:01:40 | 0:01:43 | |
That's why I'm here. | 0:01:43 | 0:01:44 | |
This is the story of the disruptors of Silicon Valley | 0:01:47 | 0:01:50 | |
and whether their promise to build a better world | 0:01:50 | 0:01:53 | |
could end up destroying everything. | 0:01:53 | 0:01:54 | |
The tech gods are promising us a sunny utopia. | 0:01:56 | 0:01:59 | |
But could the forces they're unleashing | 0:01:59 | 0:02:02 | |
actually herald a much darker future? | 0:02:02 | 0:02:05 | |
In the postapocalypse, | 0:02:08 | 0:02:09 | |
the 5.56mm round will be the currency | 0:02:09 | 0:02:11 | |
of the new America. I guarantee you. | 0:02:11 | 0:02:13 | |
It's not at all what I expected. | 0:02:29 | 0:02:32 | |
Up close, Silicon Valley looks so normal. | 0:02:33 | 0:02:36 | |
Even a touch boring. | 0:02:37 | 0:02:39 | |
What is it that makes this place | 0:02:40 | 0:02:42 | |
such a force for change in all our lives? | 0:02:42 | 0:02:46 | |
That's it. | 0:02:46 | 0:02:47 | |
Wow. | 0:02:47 | 0:02:48 | |
So this place here... | 0:02:52 | 0:02:54 | |
..is Rainbow Mansion. | 0:02:55 | 0:02:56 | |
It's an intentional community | 0:02:59 | 0:03:01 | |
of people working to optimise the galaxy. | 0:03:01 | 0:03:04 | |
So it seems like a pretty good place to start. | 0:03:04 | 0:03:06 | |
The mansion is home to a bunch of global nomads | 0:03:11 | 0:03:14 | |
who've come to Silicon Valley to pursue their dreams. | 0:03:14 | 0:03:17 | |
-Jeremy? -Hey. | 0:03:17 | 0:03:19 | |
-I'm Jamie. -Welcome to Rainbow. | 0:03:19 | 0:03:21 | |
VOICEOVER: Jeremy Swerdlow is a virtual reality hardware designer | 0:03:22 | 0:03:27 | |
and my guide. | 0:03:27 | 0:03:29 | |
So could you show me a little bit around? | 0:03:29 | 0:03:30 | |
Yeah. There are people working on stuff all over this house. | 0:03:30 | 0:03:34 | |
Technology has been democratised in a way that it never has been before. | 0:03:34 | 0:03:39 | |
People just need a laptop, | 0:03:39 | 0:03:41 | |
you can start an entire company just on a laptop. | 0:03:41 | 0:03:43 | |
Let me take you into the garage. | 0:03:43 | 0:03:45 | |
-Or the lab. -The lab? | 0:03:45 | 0:03:47 | |
You can't have a garage in Silicon Valley, | 0:03:47 | 0:03:49 | |
it's got to be a lab. | 0:03:49 | 0:03:50 | |
So the rule here is if your car isn't broken, it can't be in here. | 0:03:50 | 0:03:54 | |
This is, this is for building, this is for start-ups. | 0:03:54 | 0:03:56 | |
This is for hardware and making prototypes and building stuff. | 0:03:56 | 0:03:59 | |
Garages play a crucial role in the mythology Silicon Valley | 0:04:00 | 0:04:04 | |
weaves around itself. | 0:04:04 | 0:04:06 | |
Everyone remembers how | 0:04:06 | 0:04:09 | |
Hewlett-Packard began in this one. | 0:04:09 | 0:04:11 | |
Apple started in this one. | 0:04:13 | 0:04:14 | |
And Google's early days were here. | 0:04:17 | 0:04:18 | |
-What is it that you're doing? -So I'm working out how to do CO2 conversion | 0:04:22 | 0:04:26 | |
using ultraviolet energy from the sun. | 0:04:26 | 0:04:28 | |
You can reverse climate change, you can terraform Mars... | 0:04:28 | 0:04:31 | |
Reverse climate change! | 0:04:31 | 0:04:32 | |
Yeah. | 0:04:32 | 0:04:33 | |
Chemically, it's totally possible. | 0:04:34 | 0:04:36 | |
This is called the hyper loop. | 0:04:36 | 0:04:38 | |
Hyper loop is a new type of transportation system. | 0:04:38 | 0:04:42 | |
You shoot at very high speed inside a tube | 0:04:42 | 0:04:45 | |
and you can connect cities in a very short amount of time. | 0:04:45 | 0:04:49 | |
But you must believe that technology like this is, | 0:04:49 | 0:04:52 | |
in the end, it's going to help people, | 0:04:52 | 0:04:54 | |
-it's going to help the world? -Yeah, of course. -Yeah. | 0:04:54 | 0:04:56 | |
We are explorers, we are pushing boundaries, discovering new worlds. | 0:04:56 | 0:05:00 | |
Every Sunday night, the mansion hosts expert speakers. | 0:05:12 | 0:05:16 | |
People come from all over Silicon Valley to share ideas. | 0:05:16 | 0:05:21 | |
You can't move without falling over a plan | 0:05:21 | 0:05:24 | |
to solve one of the world's pressing problems. | 0:05:24 | 0:05:28 | |
Our hamburger, the impossible burger, made from plants, | 0:05:28 | 0:05:32 | |
uses a small fraction of the land, | 0:05:32 | 0:05:35 | |
the water, and the greenhouse gas emissions | 0:05:35 | 0:05:37 | |
that a traditional burger would use. | 0:05:37 | 0:05:39 | |
We're looking to change the whole food system in the US. | 0:05:39 | 0:05:43 | |
And the world. | 0:05:43 | 0:05:45 | |
Among this slightly cultish crowd | 0:05:45 | 0:05:47 | |
I found a man who scaled the heights of Silicon Valley. | 0:05:47 | 0:05:51 | |
Bill Hunt created five start-ups he sold for half a billion dollars. | 0:05:53 | 0:05:58 | |
What do you think the attitude here is to change and to changing things, | 0:05:58 | 0:06:03 | |
changing how industries work, changing how society works? | 0:06:03 | 0:06:07 | |
There's a lot of that. | 0:06:07 | 0:06:08 | |
There's a lot of focus on disruption. | 0:06:08 | 0:06:12 | |
VOICEOVER: Here it is. The most potent idea | 0:06:12 | 0:06:15 | |
at the heart of Silicon Valley's ideology. | 0:06:15 | 0:06:18 | |
Disruption. | 0:06:18 | 0:06:19 | |
There is a mind-set here that's very focused on disruption. | 0:06:20 | 0:06:23 | |
What can you do such that you're not just talking about | 0:06:23 | 0:06:26 | |
how we can make money, | 0:06:26 | 0:06:28 | |
but how can we do things in a new way, in a better way, | 0:06:28 | 0:06:31 | |
that makes the world better, both financially and socially? | 0:06:31 | 0:06:35 | |
It's thinking about, like, how do we get rid of this previous industry, | 0:06:35 | 0:06:39 | |
this previous architecture, this previous system | 0:06:39 | 0:06:44 | |
and find a new way to do it, a way that's better? | 0:06:44 | 0:06:46 | |
The quantum properties of different matter can be in a superposition, | 0:06:48 | 0:06:52 | |
meaning that they are... | 0:06:52 | 0:06:54 | |
This place is kind of | 0:06:54 | 0:06:56 | |
what the dream of Silicon Valley is, I suppose. | 0:06:56 | 0:07:00 | |
The... The idea that just armed with a bit of technology | 0:07:00 | 0:07:05 | |
and a thought about how to change the world, | 0:07:05 | 0:07:07 | |
you can actually make it happen. | 0:07:07 | 0:07:09 | |
You can completely transform the way things are done. | 0:07:09 | 0:07:12 | |
And that you can use technology in a way that will radically improve | 0:07:12 | 0:07:17 | |
the lives of millions of people. | 0:07:17 | 0:07:19 | |
And I think they really all believed in that as well. | 0:07:19 | 0:07:22 | |
The same fervour can be heard from the tech gods too. | 0:07:23 | 0:07:28 | |
In Silicon Valley, it's got a really positive association. | 0:07:28 | 0:07:32 | |
To be disruptive means you're changing the world. | 0:07:32 | 0:07:34 | |
It all sounds so hopeful. | 0:07:36 | 0:07:38 | |
But behind Silicon Valley's ideals of disruption | 0:07:39 | 0:07:42 | |
is a more traditional business reality. | 0:07:42 | 0:07:44 | |
Cold, hard cash. | 0:07:45 | 0:07:48 | |
Start-ups are drawn to Silicon Valley | 0:07:57 | 0:07:59 | |
because of another vast industry - | 0:07:59 | 0:08:02 | |
venture capital. | 0:08:02 | 0:08:03 | |
Financiers who gamble billions of dollars on young companies | 0:08:05 | 0:08:09 | |
in the hope of finding another Facebook or Google. | 0:08:09 | 0:08:12 | |
But investment has a consequence. | 0:08:13 | 0:08:15 | |
The founders of the two most valuable start-ups here, | 0:08:15 | 0:08:18 | |
Airbnb and Uber, | 0:08:18 | 0:08:21 | |
have attracted billions of dollars of venture capital. | 0:08:21 | 0:08:24 | |
Even though Airbnb has only just begun to turn a profit | 0:08:24 | 0:08:28 | |
and Uber has been losing billions. | 0:08:28 | 0:08:31 | |
Maybe more than profit, | 0:08:31 | 0:08:34 | |
venture capitalists want to see the potential for profit. | 0:08:34 | 0:08:38 | |
And that creates a huge pressure on these companies | 0:08:38 | 0:08:42 | |
to show that they're always growing. | 0:08:42 | 0:08:45 | |
Increasing the number of customers as quickly as possible - | 0:08:45 | 0:08:49 | |
"killing it", as they say here - is the start-up mantra. | 0:08:49 | 0:08:53 | |
But what does it mean for Silicon Valley's mission | 0:08:56 | 0:08:59 | |
to build a better world? | 0:08:59 | 0:09:01 | |
San Francisco. | 0:09:04 | 0:09:06 | |
Home of tech's newest disruptors, | 0:09:06 | 0:09:09 | |
Uber and Airbnb. | 0:09:09 | 0:09:11 | |
It is a city of extremes. | 0:09:12 | 0:09:14 | |
Private buses take tech workers to Silicon Valley. | 0:09:15 | 0:09:18 | |
Not far away, | 0:09:21 | 0:09:22 | |
food queues and the very different lives of those left behind. | 0:09:22 | 0:09:26 | |
I'm here to meet the tech company that has raised more money than | 0:09:28 | 0:09:31 | |
any other, more than 16 billion. | 0:09:31 | 0:09:34 | |
Uber's not even a taxi company at all, really. | 0:09:34 | 0:09:37 | |
It's a sort of revolutionary new type of transportation network. | 0:09:37 | 0:09:42 | |
There's this fundamental need to make transportation better, | 0:09:42 | 0:09:45 | |
to make getting around cities better. | 0:09:45 | 0:09:47 | |
You're talking about literally taking congestion off the road, | 0:09:47 | 0:09:50 | |
you're talking about taking pollution out of the air. | 0:09:50 | 0:09:52 | |
Founder Travis Kalanick's utopian vision sounds persuasive. | 0:09:54 | 0:09:58 | |
But scandals over sexism and bullying finished him off as CEO. | 0:09:58 | 0:10:02 | |
There he is. | 0:10:05 | 0:10:06 | |
Just eight years old, | 0:10:09 | 0:10:10 | |
the company operates in more than 450 cities across 76 countries. | 0:10:10 | 0:10:16 | |
So what's the truth about the kind of world Uber is building? | 0:10:18 | 0:10:23 | |
I'm meeting Uber's head of transportation policy. | 0:10:23 | 0:10:26 | |
-Welcome. -Wow, it's huge! | 0:10:26 | 0:10:29 | |
What is the aesthetic? | 0:10:31 | 0:10:33 | |
Open. I think. Open-plan. | 0:10:33 | 0:10:34 | |
Food. | 0:10:35 | 0:10:36 | |
So tell me a bit about | 0:10:38 | 0:10:41 | |
what the kind of vision of Uber is. | 0:10:41 | 0:10:45 | |
Yeah. I mean, the vision is getting away from everybody needing | 0:10:45 | 0:10:49 | |
to drive their own car everywhere they go. | 0:10:49 | 0:10:51 | |
Right, if you look at a place like the US, | 0:10:51 | 0:10:53 | |
where the overwhelming majority of travel is done by people driving | 0:10:53 | 0:10:56 | |
their own car, and that has lots of consequences. | 0:10:56 | 0:10:58 | |
Not just in terms of the number of vehicles people need to own, | 0:10:58 | 0:11:00 | |
but how cities are designed and laid out. | 0:11:00 | 0:11:02 | |
Everything from the amount of parking that we have, | 0:11:02 | 0:11:04 | |
to the amount of fatalities on the road, to environmental impact. | 0:11:04 | 0:11:08 | |
VOICEOVER: There it is. | 0:11:08 | 0:11:10 | |
A pure expression of Silicon Valley utopianism. | 0:11:10 | 0:11:13 | |
Is this a profit-making company, or is it a social mission, then? | 0:11:14 | 0:11:18 | |
-What is this? -That's what's nice about it. | 0:11:18 | 0:11:20 | |
I think by driving the business towards supporting people | 0:11:20 | 0:11:23 | |
into shared cars... Right, there's a profit-making incentive there, | 0:11:23 | 0:11:26 | |
obviously we're here to make money as a private business. | 0:11:26 | 0:11:29 | |
But as you start to get into different places | 0:11:29 | 0:11:31 | |
and you change how people use vehicles, | 0:11:31 | 0:11:33 | |
then you have all these other effects that you start to open up. | 0:11:33 | 0:11:35 | |
In Silicon Valley, there is no contradiction | 0:11:38 | 0:11:40 | |
between chasing a healthy profit | 0:11:40 | 0:11:43 | |
and claiming to be working for the good of humanity. | 0:11:43 | 0:11:46 | |
But disruption means what it says. | 0:11:47 | 0:11:50 | |
Around the world, traditional taxi drivers have protested | 0:11:51 | 0:11:54 | |
about Uber undercutting their prices. | 0:11:54 | 0:11:57 | |
It's classic Silicon Valley disruption - | 0:11:58 | 0:12:01 | |
destroying old industries | 0:12:01 | 0:12:02 | |
by providing a popular, cheap alternative. | 0:12:02 | 0:12:06 | |
But the social cost of this disruption goes much further. | 0:12:06 | 0:12:10 | |
India. | 0:12:14 | 0:12:15 | |
Home to more than a billion people and Uber's top target | 0:12:15 | 0:12:19 | |
for global growth. | 0:12:19 | 0:12:20 | |
I'm in Hyderabad to see the human consequences | 0:12:21 | 0:12:24 | |
of the disruption cooked up in San Francisco. | 0:12:24 | 0:12:27 | |
Uber is promising a new kind of flexible job, | 0:12:30 | 0:12:33 | |
empowering its drivers. | 0:12:33 | 0:12:35 | |
But the reality has been far less liberating. | 0:12:45 | 0:12:48 | |
Narasimha and Mahendar were attracted by Uber's pitch. | 0:12:52 | 0:12:57 | |
With no profits and under huge pressure | 0:13:07 | 0:13:10 | |
to grow against a strong local rival, | 0:13:10 | 0:13:12 | |
Uber ran adverts on billboards and in the press, | 0:13:12 | 0:13:16 | |
promising drivers up to £1,100 a month, | 0:13:16 | 0:13:20 | |
around four times what these drivers had been earning. | 0:13:20 | 0:13:23 | |
Car ownership is low in India, | 0:13:28 | 0:13:30 | |
especially among those likely to drive for Uber. | 0:13:30 | 0:13:34 | |
So the company helps drivers borrow money to buy new cars. | 0:13:34 | 0:13:38 | |
Narasimha borrowed around £12,500 to buy a Tata Indigo. | 0:13:40 | 0:13:46 | |
Mahendar borrowed around £8,000 to buy a Tata Indica. | 0:13:46 | 0:13:50 | |
As the number of Uber drivers rose, | 0:14:04 | 0:14:06 | |
the number of customers did not keep up, | 0:14:06 | 0:14:09 | |
so earnings fell. | 0:14:09 | 0:14:11 | |
With a ready supply of drivers, the company cut incentives too. | 0:14:11 | 0:14:15 | |
I'm meeting one family whose lives have been utterly changed | 0:14:29 | 0:14:34 | |
after Uber's promise turned to a nightmare. | 0:14:34 | 0:14:37 | |
Mohammed Zaheer worked as a taxi driver. | 0:14:59 | 0:15:02 | |
When Uber opened up, he couldn't wait to join. | 0:15:02 | 0:15:06 | |
Was he excited by this opportunity? | 0:15:06 | 0:15:09 | |
Mohammed borrowed around £8,500 to buy a Tata Indicar. | 0:15:17 | 0:15:22 | |
Soon his earnings fell, like many other drivers. | 0:15:22 | 0:15:26 | |
Were you under pressure from, | 0:15:35 | 0:15:38 | |
from people who lent you money? | 0:15:38 | 0:15:40 | |
In 2015, Mohammed joined other Uber drivers on strike, | 0:15:52 | 0:15:57 | |
angry over falling earnings. | 0:15:57 | 0:15:59 | |
Noorjahan remembers the last time | 0:16:00 | 0:16:02 | |
she spoke to her husband on the phone. | 0:16:02 | 0:16:05 | |
A few hours later, Mohammed was found dead. | 0:16:23 | 0:16:26 | |
Mohammed had hanged himself. | 0:16:42 | 0:16:44 | |
His body was taken to the Uber offices. | 0:16:46 | 0:16:49 | |
The company did not respond. | 0:16:49 | 0:16:50 | |
I mean, after everything that's happened... | 0:16:54 | 0:16:56 | |
..what do you now think of Uber as a company? | 0:16:58 | 0:17:01 | |
Two other Uber drivers have killed themselves in Hyderabad. | 0:17:24 | 0:17:27 | |
A former Uber executive has agreed to talk to me anonymously. | 0:17:27 | 0:17:31 | |
Do you think you could have been, or should have been, more... | 0:17:33 | 0:17:36 | |
..open with the drivers about how their salaries or their incentives | 0:17:38 | 0:17:43 | |
might change in the future? | 0:17:43 | 0:17:45 | |
I could have been. I would say, yes. | 0:17:46 | 0:17:49 | |
Obviously, yes. Drivers were misled. | 0:17:49 | 0:17:52 | |
They're totally misled. | 0:17:52 | 0:17:53 | |
That is actually causing all the pain for a lot of people. | 0:17:53 | 0:17:56 | |
The mantra of Silicon Valley is that disruption is always good. | 0:18:04 | 0:18:09 | |
And through smartphones and digital technology, | 0:18:09 | 0:18:12 | |
we can create more efficient, more convenient, faster services. | 0:18:12 | 0:18:18 | |
And everyone wins from that. | 0:18:18 | 0:18:20 | |
But behind that beautifully designed app, | 0:18:20 | 0:18:23 | |
or that slick platform, | 0:18:23 | 0:18:24 | |
there's a quite brutal form of capitalism unfolding, | 0:18:24 | 0:18:28 | |
and it's leaving some of the poorest people in society behind. | 0:18:28 | 0:18:31 | |
In a statement, Uber said their heart goes out to Noorjahan | 0:18:34 | 0:18:38 | |
and her family. Uber supported the authorities' investigation | 0:18:38 | 0:18:42 | |
of this case and will continue to do so if requested. | 0:18:42 | 0:18:45 | |
Uber said drivers are at the heart of what they do | 0:18:46 | 0:18:49 | |
and they're committed to improving their experience. | 0:18:49 | 0:18:52 | |
In India, Uber is listening to them and acting on what they learn. | 0:18:52 | 0:18:55 | |
Back in Silicon Valley, | 0:19:01 | 0:19:03 | |
I'm realising how much energy the tech titans devote to one thing... | 0:19:03 | 0:19:07 | |
..presenting themselves as the heroes of the people, | 0:19:09 | 0:19:12 | |
taking on all kinds of vested interests. | 0:19:12 | 0:19:15 | |
One of the most remarkable branding tricks of the 21st century | 0:19:17 | 0:19:21 | |
has been the way that Silicon Valley has managed to persuade us | 0:19:21 | 0:19:24 | |
that they're not like other companies. | 0:19:24 | 0:19:26 | |
I mean, when you think about banks or big pharma, oil, | 0:19:26 | 0:19:31 | |
you imagine them as being driven only by profit. | 0:19:31 | 0:19:35 | |
And yet Silicon Valley, we imagine, is different. | 0:19:35 | 0:19:38 | |
They are puffed up with social purpose to improve the world, | 0:19:38 | 0:19:43 | |
that they're the good guys. | 0:19:43 | 0:19:44 | |
Dear stranger, | 0:19:48 | 0:19:50 | |
when I booked this trip, my friend said I was crazy... | 0:19:50 | 0:19:53 | |
The founders of Airbnb, for example, | 0:19:53 | 0:19:56 | |
are connecting the world, | 0:19:56 | 0:19:58 | |
not simply allowing people to advertise holiday lets. | 0:19:58 | 0:20:02 | |
I just wanted to thank you for sharing your world with me. | 0:20:02 | 0:20:05 | |
Airbnb, belong anywhere. | 0:20:06 | 0:20:09 | |
This is Airbnb's global headquarters in San Francisco. | 0:20:13 | 0:20:17 | |
I wonder whether I'll get another dose | 0:20:19 | 0:20:22 | |
of Silicon Valley utopianism here. | 0:20:22 | 0:20:24 | |
We're on our way. | 0:20:27 | 0:20:29 | |
Chris, I'm Jamie. | 0:20:31 | 0:20:33 | |
How are you doing? Nice to meet you. | 0:20:33 | 0:20:34 | |
VOICEOVER: Chris Lehane was once called the master of disaster. | 0:20:36 | 0:20:40 | |
As Bill Clinton's spin doctor, he managed the Monica Lewinsky scandal. | 0:20:40 | 0:20:44 | |
Chris is now Airbnb's head of global policy. | 0:20:46 | 0:20:49 | |
Like all the tech gods of Silicon Valley, | 0:20:50 | 0:20:53 | |
the founders of Airbnb have their own exulted creation myth. | 0:20:53 | 0:20:58 | |
Two of the three founders were living in an apartment | 0:20:58 | 0:21:01 | |
on Rausch Street in San Francisco. | 0:21:01 | 0:21:03 | |
There was actually an art conference that was coming to the city, | 0:21:03 | 0:21:06 | |
so they came up with this idea | 0:21:06 | 0:21:07 | |
that they advertised as air bed and breakfast on a lister | 0:21:07 | 0:21:10 | |
and, after that weekend, | 0:21:10 | 0:21:12 | |
a light bulb went over their head, which is, | 0:21:12 | 0:21:14 | |
maybe there is a business here. | 0:21:14 | 0:21:16 | |
So, hang on, is this a model of their room? | 0:21:16 | 0:21:18 | |
This is a model of one of the rooms | 0:21:18 | 0:21:20 | |
that would have been in the original listing, | 0:21:20 | 0:21:23 | |
and there's actually something called, up on the fourth floor, | 0:21:23 | 0:21:26 | |
which I think is around the corner over here, called the founders' den, | 0:21:26 | 0:21:29 | |
where they actually did their meetings and came up with the idea. | 0:21:29 | 0:21:33 | |
Today, Airbnb is a global giant, valued at around 31 billion, | 0:21:34 | 0:21:41 | |
but it doesn't see itself as big business. | 0:21:41 | 0:21:44 | |
We do like to think of ourselves as a different type of company. | 0:21:44 | 0:21:48 | |
The founders' initial idea was make money off of what is typically | 0:21:48 | 0:21:52 | |
your greatest expense, which is your housing, | 0:21:52 | 0:21:54 | |
to be able to stay in your housing, and that still remains true today. | 0:21:54 | 0:21:58 | |
You know, over half the people who are on the platform | 0:21:58 | 0:22:01 | |
are low to moderate income people, regular people. | 0:22:01 | 0:22:04 | |
They use it to cover basic expenses, including the cost of their housing. | 0:22:04 | 0:22:09 | |
Airbnb believes its online marketplace is empowering people. | 0:22:09 | 0:22:13 | |
Our founders, they came up with a real vision here, | 0:22:14 | 0:22:18 | |
and the vision was to be able to use the platform | 0:22:18 | 0:22:20 | |
to connect people to people. | 0:22:20 | 0:22:21 | |
We like to say, we are of the people, by the people, | 0:22:21 | 0:22:24 | |
for the people, but really they use the platform so that people can | 0:22:24 | 0:22:26 | |
spend time with one another. | 0:22:26 | 0:22:27 | |
You think about what's going on in the world today, | 0:22:27 | 0:22:30 | |
and people are talking about building walls, | 0:22:30 | 0:22:32 | |
closing doors, putting up barriers. | 0:22:32 | 0:22:33 | |
A real question of whether we are going to have an open society | 0:22:33 | 0:22:36 | |
or a closed society, and this is a place | 0:22:36 | 0:22:38 | |
that is really focused on using technology | 0:22:38 | 0:22:40 | |
to help create an open society. | 0:22:40 | 0:22:42 | |
Airbnb claims to be on the side of the little people, | 0:22:42 | 0:22:46 | |
and the only losers from their disruption | 0:22:46 | 0:22:49 | |
are traditional hotel owners. | 0:22:49 | 0:22:51 | |
But that's not how it feels in Barcelona, | 0:22:53 | 0:22:56 | |
where Airbnb has run into a spot of bother. | 0:22:56 | 0:22:59 | |
These people have rented an apartment through the website. | 0:23:02 | 0:23:06 | |
They are not tourists but locals, staging a protest against Airbnb. | 0:23:07 | 0:23:12 | |
They are angry rents in the city are going up | 0:23:14 | 0:23:16 | |
as landlords cater more and more to tourists. | 0:23:16 | 0:23:20 | |
They are increasing the prices of the normal rents in Barcelona. | 0:23:20 | 0:23:24 | |
The local government is trying to control | 0:23:37 | 0:23:40 | |
the growth of tourist accommodation in the city. | 0:23:40 | 0:23:43 | |
All short-term rental properties must be licensed. | 0:23:43 | 0:23:46 | |
This flat isn't. | 0:23:46 | 0:23:48 | |
The group prepare a statement they will read from the balcony. | 0:23:51 | 0:23:54 | |
Before long, the agent managing the property arrives. | 0:24:06 | 0:24:09 | |
It turns out the agent is managing 13 properties in Barcelona, | 0:24:43 | 0:24:48 | |
all advertised on Airbnb. | 0:24:48 | 0:24:49 | |
It's not just Barcelona that has seen protests like this. | 0:25:06 | 0:25:11 | |
Residents of other cities around the world have also raised fears Airbnb | 0:25:11 | 0:25:15 | |
is driving up rents and pushing locals out. | 0:25:15 | 0:25:18 | |
Airbnb has now banned this property agent from the platform | 0:25:29 | 0:25:33 | |
for breaking their rules. | 0:25:33 | 0:25:35 | |
These were local protesters that were in the streets, | 0:25:40 | 0:25:43 | |
unhappy with the way Airbnb was working with the authority, | 0:25:43 | 0:25:46 | |
and the effects that was having in Barcelona. | 0:25:46 | 0:25:49 | |
It wasn't large corporations. It was ordinary citizens in the city. | 0:25:49 | 0:25:52 | |
But that makes the point. | 0:25:52 | 0:25:53 | |
There isn't a regulatory structure in Barcelona. | 0:25:53 | 0:25:55 | |
The government, up until recently, | 0:25:55 | 0:25:58 | |
has resisted actually getting involved, sitting down like we're | 0:25:58 | 0:26:01 | |
sitting down right now, | 0:26:01 | 0:26:02 | |
and actually coming up with a regulatory structure that can work. | 0:26:02 | 0:26:05 | |
In a number of other cities, people have sat down | 0:26:05 | 0:26:08 | |
and we've figured it out, and it's really working well. | 0:26:08 | 0:26:11 | |
So, at the end of the day, | 0:26:11 | 0:26:13 | |
to address something that is a new thing that has come along, | 0:26:13 | 0:26:16 | |
you actually have to have both sides sit down and figure it out | 0:26:16 | 0:26:19 | |
and work it through. | 0:26:19 | 0:26:21 | |
It's a classic argument from the disruptors. | 0:26:24 | 0:26:27 | |
Regulators, governments, elected politicians, | 0:26:27 | 0:26:31 | |
they all have to catch up, | 0:26:31 | 0:26:32 | |
change their policies to take account of the new reality. | 0:26:32 | 0:26:36 | |
In fact, Silicon Valley seems to have a pretty dim view | 0:26:40 | 0:26:44 | |
of governments in general. | 0:26:44 | 0:26:46 | |
That is most evident when it comes to tax. | 0:26:46 | 0:26:49 | |
-David. -Hey. Wonderful to meet you. | 0:26:49 | 0:26:51 | |
-How are you doing? -Doing well. | 0:26:51 | 0:26:53 | |
I'm here to see Larry. | 0:26:53 | 0:26:54 | |
Yeah, we're going to take you right over there. | 0:26:54 | 0:26:57 | |
You can get an idea of Silicon Valley's attitude to tax | 0:26:57 | 0:27:00 | |
by looking at how the companies behave in their own back yard. | 0:27:00 | 0:27:04 | |
Larry. Jamie, how are you doing? | 0:27:05 | 0:27:07 | |
-Glad to see you. -What a beautiful office. | 0:27:07 | 0:27:09 | |
Glad you're here. | 0:27:09 | 0:27:11 | |
Larry Stone is the assessor for Santa Clara County, | 0:27:13 | 0:27:17 | |
a friend of presidents and would-be presidents. | 0:27:17 | 0:27:21 | |
Within a five-mile radius of where we're standing... | 0:27:21 | 0:27:25 | |
..almost all the major corporations in Silicon Valley - | 0:27:27 | 0:27:31 | |
Google, Apple, Facebook's about five miles away. | 0:27:31 | 0:27:35 | |
Companies here pay local property tax at a rate of 1% | 0:27:35 | 0:27:40 | |
of the value of all their buildings and equipment. | 0:27:40 | 0:27:44 | |
It's the job of Larry and his team | 0:27:44 | 0:27:46 | |
to work out the value of this property. | 0:27:46 | 0:27:49 | |
I'm interested in whether those tech firms tend to disagree | 0:27:49 | 0:27:54 | |
with what you're saying they owe in tax. | 0:27:54 | 0:27:56 | |
Many of them do, yes. | 0:27:56 | 0:27:57 | |
I mean, we have about 70 billion | 0:27:57 | 0:28:02 | |
of what we call value at risk. | 0:28:02 | 0:28:06 | |
Sorry, 70 billion? | 0:28:06 | 0:28:08 | |
Of assessed value at risk. | 0:28:08 | 0:28:10 | |
What, that's being appealed or disputed by those companies? | 0:28:10 | 0:28:12 | |
Correct. Correct. | 0:28:12 | 0:28:14 | |
And about 80% of that are major corporations - | 0:28:14 | 0:28:18 | |
Apple, Google. | 0:28:18 | 0:28:20 | |
Larry wants to show me the subject | 0:28:25 | 0:28:27 | |
of one of his biggest battles over tax. | 0:28:27 | 0:28:30 | |
Apple. | 0:28:30 | 0:28:32 | |
When completed, their new headquarters | 0:28:32 | 0:28:34 | |
will be the most impressive in Silicon Valley. | 0:28:34 | 0:28:38 | |
Quite the place, huh? | 0:28:38 | 0:28:39 | |
But why? Isn't this just a public street? | 0:28:43 | 0:28:46 | |
Why are they so secretive? | 0:28:49 | 0:28:50 | |
That's the mind-set, | 0:28:50 | 0:28:53 | |
the culture of the company is secrecy. | 0:28:53 | 0:28:57 | |
And always has been. | 0:28:57 | 0:28:58 | |
VOICEOVER: The constant hum of mild paranoia | 0:28:59 | 0:29:02 | |
is never far away in Silicon Valley. | 0:29:02 | 0:29:04 | |
But we can... | 0:29:06 | 0:29:07 | |
These folks are from the BBC. | 0:29:09 | 0:29:11 | |
No, he's filming me, I think. | 0:29:13 | 0:29:15 | |
OK. | 0:29:15 | 0:29:16 | |
Yeah. Well, we're just standing in the street. | 0:29:18 | 0:29:21 | |
With a mile-long circumference, | 0:29:25 | 0:29:27 | |
Apple Park will be a modern-day Colosseum. | 0:29:27 | 0:29:31 | |
Its centre will be a park for Apple staff. | 0:29:31 | 0:29:34 | |
It's expected to cost more than 5 billion. | 0:29:34 | 0:29:38 | |
Look at this, the scale of it. | 0:29:38 | 0:29:40 | |
-Yeah. -It's for show as well. | 0:29:40 | 0:29:42 | |
It's like sort of... | 0:29:42 | 0:29:44 | |
It's like emperors building a new temple to themselves, you know. | 0:29:44 | 0:29:48 | |
It's sort of vanity. | 0:29:49 | 0:29:51 | |
It's unbelievable. It's a vanity project. | 0:29:51 | 0:29:54 | |
If Steve Jobs was here right now, he would love to hear you say that. | 0:29:54 | 0:29:58 | |
Steve, it's working! | 0:29:58 | 0:30:00 | |
THEY LAUGH | 0:30:00 | 0:30:02 | |
Last year, Apple paid nearly 34 million in local property tax, | 0:30:02 | 0:30:07 | |
the second largest amount in Santa Clara County. | 0:30:07 | 0:30:10 | |
But it is disputing the largest amount of value, | 0:30:11 | 0:30:15 | |
covering 2010 to 2015. | 0:30:15 | 0:30:19 | |
We have 6.8 billion worth of assessment appeals. | 0:30:19 | 0:30:24 | |
So you said it's worth £6.8 billion. | 0:30:24 | 0:30:26 | |
Yeah. They say it's worth 57 million. | 0:30:26 | 0:30:31 | |
-OK. -That's... -So they're essentially... | 0:30:31 | 0:30:34 | |
That's a big... That's a pretty big... | 0:30:34 | 0:30:37 | |
They are disputing 99% of their value. | 0:30:37 | 0:30:40 | |
How do you...? How can it be possible that you say, | 0:30:40 | 0:30:46 | |
this stuff you own is worth nearly 7 billion, and they say, | 0:30:46 | 0:30:50 | |
no, it's only worth 50 million? | 0:30:50 | 0:30:52 | |
-How is that possible? -Well, because that's what they file. | 0:30:53 | 0:30:56 | |
Now, obviously, it's not worth 57 million. | 0:30:56 | 0:31:01 | |
So how are they coming up with this number? | 0:31:01 | 0:31:03 | |
Pulling it out of some part of their anatomy, | 0:31:05 | 0:31:08 | |
but I don't know if it's the top of their head or is it something else. | 0:31:08 | 0:31:11 | |
If Apple's appeal succeeds in full, | 0:31:13 | 0:31:15 | |
68 million of tax would be slashed to just over 0.5 million. | 0:31:15 | 0:31:21 | |
Apple isn't the only tech titan filing local property tax appeals. | 0:31:23 | 0:31:27 | |
The company has funded over 70 million of local improvements. | 0:31:29 | 0:31:33 | |
VOICEOVER: But I wondered what Larry thought all this means for society. | 0:31:34 | 0:31:38 | |
After all, this local tax pays for schools and other services. | 0:31:38 | 0:31:42 | |
In the '50s, '60s and '70s, Detroit was the envy of the world. | 0:31:43 | 0:31:47 | |
Today, Detroit is in bankruptcy. | 0:31:47 | 0:31:49 | |
We could go the same way if we don't solve our public education | 0:31:49 | 0:31:53 | |
and if we don't resolve our commitment to the community | 0:31:53 | 0:31:56 | |
as a people, as citizens and corporations. | 0:31:56 | 0:32:00 | |
Around the world, tech giants have been accused | 0:32:02 | 0:32:05 | |
of aggressively minimising their tax bills. | 0:32:05 | 0:32:08 | |
The EU is demanding Apple pay up to £11 billion of tax | 0:32:09 | 0:32:14 | |
it says is owed to Ireland. | 0:32:14 | 0:32:17 | |
But how they deal locally with these issues, | 0:32:17 | 0:32:19 | |
how they deal locally with their local taxman, | 0:32:19 | 0:32:22 | |
says something about the culture of these places, | 0:32:22 | 0:32:25 | |
the general approach of always trying to minimise the tax they pay | 0:32:25 | 0:32:30 | |
or trying to work around governments. | 0:32:30 | 0:32:33 | |
It makes a lot more sense | 0:32:33 | 0:32:36 | |
when you come here and you see how a company like Apple behaves | 0:32:36 | 0:32:39 | |
in its own back yard. | 0:32:39 | 0:32:41 | |
Of course, there's nothing new about technological disruption. | 0:32:51 | 0:32:54 | |
Steam power, electricity, | 0:32:56 | 0:32:58 | |
production lines destroyed the industries that existed | 0:32:58 | 0:33:01 | |
before them and forced governments to change. | 0:33:01 | 0:33:04 | |
The world survived, life got better. | 0:33:05 | 0:33:08 | |
The question now is whether the Silicon Valley revolution | 0:33:08 | 0:33:12 | |
is going to be different. | 0:33:12 | 0:33:14 | |
The big secret in Silicon Valley is that the next wave of disruption | 0:33:14 | 0:33:19 | |
is not going to be like the last, | 0:33:19 | 0:33:21 | |
because it could tear apart the way capitalism works. | 0:33:21 | 0:33:25 | |
And, as a result, the way we live our lives | 0:33:25 | 0:33:28 | |
could be utterly transformed. | 0:33:28 | 0:33:30 | |
Early morning on the edge of Orlando, Florida. | 0:33:39 | 0:33:42 | |
I'm heading into the coming world. | 0:33:44 | 0:33:47 | |
I'm on my way to do some disrupting with a group of people | 0:33:49 | 0:33:54 | |
who want to change an entire industry, | 0:33:54 | 0:33:58 | |
and they might end up changing the whole global economy | 0:33:58 | 0:34:01 | |
and how it works. | 0:34:01 | 0:34:02 | |
Our mission begins in the car park of a home improvement store. | 0:34:08 | 0:34:11 | |
It's not the most obvious place to start a revolution, | 0:34:14 | 0:34:17 | |
but this one has a certain do-it-yourself quality. | 0:34:17 | 0:34:21 | |
It's absolutely huge. | 0:34:23 | 0:34:25 | |
I've never been in a truck before. | 0:34:29 | 0:34:31 | |
Oh, wow, this is it. | 0:34:31 | 0:34:33 | |
Yeah. | 0:34:33 | 0:34:34 | |
VOICEOVER: Meet Stefan Seltz-Axmacher, | 0:34:34 | 0:34:37 | |
a 27-year-old who's raised 5 million | 0:34:37 | 0:34:40 | |
with his plan to change the future. | 0:34:40 | 0:34:43 | |
Tony Hughes is key to Stefan's plan. | 0:34:46 | 0:34:48 | |
What is this? | 0:34:49 | 0:34:51 | |
And we've got to get this over to... | 0:34:53 | 0:34:55 | |
Which is... How far is that? | 0:34:56 | 0:34:58 | |
All right, so we've got... How long have we got in the truck? | 0:34:59 | 0:35:03 | |
Well, then, let's do it. All aboard. | 0:35:03 | 0:35:05 | |
All right. | 0:35:07 | 0:35:08 | |
Let's go. | 0:35:08 | 0:35:09 | |
More than three million trucks carry freight on America's highways. | 0:35:15 | 0:35:18 | |
This truck isn't like the others. | 0:35:21 | 0:35:24 | |
Tony, is the system good? | 0:35:33 | 0:35:35 | |
Car check, is the system good? | 0:35:36 | 0:35:37 | |
OK. Rosebud on, Rosebud on. | 0:35:39 | 0:35:41 | |
So you're not touching the wheel. I can see the other wheel's moving. | 0:35:45 | 0:35:48 | |
My God! | 0:35:50 | 0:35:51 | |
It's quite scary. | 0:35:53 | 0:35:55 | |
It's just driving itself, man. | 0:35:56 | 0:35:58 | |
Stefan and his team have made this truck drive itself | 0:35:59 | 0:36:03 | |
by adding a computer | 0:36:03 | 0:36:05 | |
that controls the pedals and steering wheel. | 0:36:05 | 0:36:07 | |
They're hoping, by adapting the huge existing truck fleet, | 0:36:09 | 0:36:13 | |
they can beat bigger rival companies racing to build expensive | 0:36:13 | 0:36:17 | |
self-driving trucks from scratch. | 0:36:17 | 0:36:20 | |
You see, every time it veers a little bit, my heart goes. | 0:36:20 | 0:36:23 | |
I'm thinking, "Oh, God, it's lost control." | 0:36:23 | 0:36:25 | |
And then it kind of comes back in again. | 0:36:25 | 0:36:28 | |
Like, your heart beats just a little bit quicker, | 0:36:29 | 0:36:31 | |
because you're thinking, | 0:36:31 | 0:36:33 | |
"Oh, my God, we've got suddenly this huge vehicle that we're all in is | 0:36:33 | 0:36:36 | |
"being controlled not by the driver but by the computer." | 0:36:36 | 0:36:40 | |
VOICEOVER: I can't help wondering. | 0:36:46 | 0:36:48 | |
Trucking is one of the best-paid jobs | 0:36:48 | 0:36:50 | |
open to people without a degree, but for how long? | 0:36:50 | 0:36:53 | |
Among America's 3.5 million truck drivers, Tony is a rarity. | 0:36:54 | 0:36:59 | |
What do they say when you tell them what you're doing? | 0:37:01 | 0:37:03 | |
They call me a traitor because they say, | 0:37:05 | 0:37:07 | |
"You're taking our jobs away from us." | 0:37:07 | 0:37:09 | |
-They call you a traitor? -Yeah. | 0:37:09 | 0:37:11 | |
How does that make you feel? | 0:37:11 | 0:37:13 | |
As long as I'm satisfied with the job that I'm doing out here | 0:37:13 | 0:37:17 | |
and making lives better for other drivers, | 0:37:17 | 0:37:19 | |
they can say whatever they want. | 0:37:19 | 0:37:21 | |
And this will make a difference in drivers' lives. | 0:37:21 | 0:37:23 | |
Stefan's vision of self-driving trucks still requires drivers. | 0:37:25 | 0:37:29 | |
They'd be needed to remotely pilot the trucks through busy depots or | 0:37:35 | 0:37:40 | |
congested cities, on and off the motorway. | 0:37:40 | 0:37:43 | |
How does it compare now, do you think, | 0:37:47 | 0:37:49 | |
to if Tony is driving without the...? | 0:37:49 | 0:37:52 | |
Well, the system still isn't as good as Tony. | 0:37:52 | 0:37:55 | |
The goal is that it will be better | 0:37:57 | 0:38:00 | |
than an above average or good driver | 0:38:00 | 0:38:02 | |
-in the next couple of months. -Next couple of months! | 0:38:02 | 0:38:04 | |
-That's what we think. -That's the speed at which it's improving. | 0:38:04 | 0:38:08 | |
Because we're focusing on this particular domain. | 0:38:08 | 0:38:10 | |
It's way easier, it's a way simpler to drive autonomously on the highway | 0:38:10 | 0:38:15 | |
than to drive autonomously in a neighbourhood. | 0:38:15 | 0:38:17 | |
There are way fewer variables that happen. | 0:38:19 | 0:38:21 | |
There's no shortage of ambition in this cab. | 0:38:22 | 0:38:25 | |
Our plan is to start to take people out of the vehicle on limited routes | 0:38:25 | 0:38:29 | |
-by the end of the year. -By the end of the year. -Yeah. | 0:38:29 | 0:38:31 | |
But there are some teething problems. | 0:38:32 | 0:38:34 | |
We've got a team of engineers that are kind of driving with us, | 0:38:49 | 0:38:52 | |
so we've stopped off in a lay-by, they've jumped out, | 0:38:52 | 0:38:54 | |
they're checking the pedals, making sure everything is working. | 0:38:54 | 0:38:57 | |
That's exactly what Silicon Valley's about. | 0:38:57 | 0:38:59 | |
Once you are out there doing it and you're dealing with real-life | 0:38:59 | 0:39:02 | |
problems, things going slightly wrong and fixing them up... | 0:39:02 | 0:39:04 | |
..you can then demonstrate to the world | 0:39:06 | 0:39:09 | |
that we have made this thing work. | 0:39:09 | 0:39:10 | |
We're not going to wait around for all the regulations. | 0:39:10 | 0:39:13 | |
And then, almost | 0:39:13 | 0:39:15 | |
by virtue of demonstrating its power, | 0:39:15 | 0:39:19 | |
it forces the world to change around it. | 0:39:19 | 0:39:21 | |
And I think that's what happens | 0:39:22 | 0:39:24 | |
when you take this kind of disruption philosophy, | 0:39:24 | 0:39:27 | |
this idea of Silicon Valley, getting out there, | 0:39:27 | 0:39:30 | |
changing things and then making the world catch up with them. | 0:39:30 | 0:39:34 | |
That's why they've conquered the world. | 0:39:34 | 0:39:36 | |
-We have arrived. -We've made a delivery in an autonomous vehicle. | 0:39:45 | 0:39:49 | |
Rosebud drove the truck for more than 100 miles today. | 0:39:53 | 0:39:56 | |
Spending time with Stefan is a chance to find out if Silicon Valley | 0:39:59 | 0:40:03 | |
worries about the possible downsides of automation. | 0:40:03 | 0:40:07 | |
What if it just becomes so efficient, | 0:40:08 | 0:40:12 | |
that we don't need drivers any more at all? | 0:40:12 | 0:40:15 | |
Yeah. That's a thing that could happen, | 0:40:16 | 0:40:18 | |
but we'll definitely find other things to do for work. | 0:40:18 | 0:40:20 | |
In the 1920s, Keynes thought that by now we'd work a four-hour work week. | 0:40:20 | 0:40:24 | |
We found a lot of other things to do. | 0:40:24 | 0:40:26 | |
Social media managers, not a job in the 1920s. | 0:40:26 | 0:40:29 | |
I think that we will inevitably find more things | 0:40:29 | 0:40:33 | |
that we need to do as jobs. | 0:40:33 | 0:40:34 | |
I just, I can't believe how optimistic you are. | 0:40:34 | 0:40:37 | |
-Yeah. -I mean, it's great, obviously, but does a little bit of you think, | 0:40:37 | 0:40:42 | |
"Well, what if, what if there aren't jobs for people? | 0:40:42 | 0:40:45 | |
"What if this time's different and we can't create the jobs?" | 0:40:45 | 0:40:49 | |
You can see the possibility of negative outcomes from AI, | 0:40:49 | 0:40:51 | |
like it would be foolish to say that there was no possibility | 0:40:51 | 0:40:54 | |
that it could go badly. | 0:40:54 | 0:40:56 | |
But look at what we, as a species, have overcome. | 0:40:56 | 0:40:59 | |
You know, whether it's the black plague, whether it's slavery, | 0:40:59 | 0:41:03 | |
Cold War with the threat of dead-hand nuclear orders, I mean, | 0:41:03 | 0:41:08 | |
we've come by so far. | 0:41:08 | 0:41:09 | |
But history may be no guide to the consequences | 0:41:12 | 0:41:17 | |
of the next wave of disruption. | 0:41:17 | 0:41:18 | |
What's different about this industrial revolution | 0:41:20 | 0:41:23 | |
is that Silicon Valley's using data and software | 0:41:23 | 0:41:27 | |
so machines can learn how to do things better than humans. | 0:41:27 | 0:41:31 | |
So how far is this going to go? | 0:41:33 | 0:41:35 | |
I'm meeting a pioneer of another technology | 0:41:37 | 0:41:39 | |
that will change capitalism as we know it - | 0:41:39 | 0:41:43 | |
artificial intelligence. | 0:41:43 | 0:41:44 | |
-What is this? -One Wheel. | 0:41:47 | 0:41:49 | |
Well named, huh? | 0:41:51 | 0:41:52 | |
In the world Jeremy Howard is building, | 0:41:53 | 0:41:55 | |
it won't just be truck drivers or manual workers | 0:41:55 | 0:41:58 | |
who stand to be replaced. | 0:41:58 | 0:42:00 | |
Everyone's job will be precarious. | 0:42:01 | 0:42:04 | |
You've got to have a go. If you lean forwards, there we go. | 0:42:04 | 0:42:07 | |
If you lean forwards it goes forwards... | 0:42:07 | 0:42:09 | |
-Oh, yeah. -And lean backwards to go backwards. | 0:42:09 | 0:42:11 | |
And then take your front foot off to stop. | 0:42:11 | 0:42:13 | |
How are you so good at this? | 0:42:13 | 0:42:15 | |
-How do I stop? -Yeah, just lean back and then front foot off. | 0:42:15 | 0:42:18 | |
Yeah. | 0:42:20 | 0:42:21 | |
That was awesome! | 0:42:21 | 0:42:23 | |
Guess where we get started. | 0:42:23 | 0:42:24 | |
Go through to the garage. | 0:42:26 | 0:42:29 | |
There's a clue here to how Jeremy is developing artificial intelligence, | 0:42:29 | 0:42:34 | |
machines that can learn like we can. | 0:42:34 | 0:42:37 | |
Why do I have Chinese books? | 0:42:37 | 0:42:38 | |
Well, not because I wanted to learn Chinese, | 0:42:38 | 0:42:41 | |
but because I wanted to learn how the mind works, | 0:42:41 | 0:42:43 | |
and the best way to learn how the mind works was to try and learn | 0:42:43 | 0:42:47 | |
-something difficult. -Did you learn Chinese to learn how the mind works? | 0:42:47 | 0:42:50 | |
Right, which I then used that in order to figure out how to implement | 0:42:50 | 0:42:53 | |
that in machine learning. | 0:42:53 | 0:42:55 | |
Artificial intelligence is at the heart of the start-up Jeremy | 0:42:57 | 0:43:01 | |
founded to help combat the shortage of doctors and radiologists | 0:43:01 | 0:43:05 | |
in the developing world. | 0:43:05 | 0:43:06 | |
It turns out that figuring out what's wrong with you | 0:43:06 | 0:43:08 | |
and how to make you better is just a data problem. | 0:43:08 | 0:43:12 | |
So I was like, all right, I know how to do data problems. | 0:43:12 | 0:43:14 | |
I don't know anything about medicine, but I know data problems. | 0:43:14 | 0:43:17 | |
Jeremy uses deep learning software | 0:43:18 | 0:43:21 | |
to diagnose cancer from medical images. | 0:43:21 | 0:43:24 | |
The software learns from examples to identify patterns, like we do. | 0:43:24 | 0:43:29 | |
It spots problems by inferring from what it has learned, | 0:43:29 | 0:43:33 | |
becoming ever more accurate. | 0:43:33 | 0:43:35 | |
The software that I built takes about 0.02 seconds | 0:43:35 | 0:43:39 | |
to look at a CT scan. | 0:43:39 | 0:43:41 | |
So it can look at a million... | 0:43:41 | 0:43:42 | |
A human takes, to look at it properly? | 0:43:42 | 0:43:44 | |
10-15 minutes. | 0:43:44 | 0:43:45 | |
So we can look at a million CT scans like that, and now, | 0:43:45 | 0:43:50 | |
and because we're using these neural networks, deep learning, to do it, | 0:43:50 | 0:43:55 | |
it can literally develop an intuition, | 0:43:55 | 0:43:57 | |
the same kind of intuition that a radiologist has. | 0:43:57 | 0:43:59 | |
Within two months, we had something that beat | 0:43:59 | 0:44:01 | |
the world's best radiologist to diagnose lung cancer. | 0:44:01 | 0:44:05 | |
-Beat the world's best? -Yeah, beat a panel of the world's best. | 0:44:05 | 0:44:08 | |
VOICEOVER: Here, the march of the machines feels unstoppable. | 0:44:08 | 0:44:11 | |
So this is going to get bigger, isn't it? | 0:44:12 | 0:44:14 | |
Because deep learning, once it's out and once it's doing this, | 0:44:14 | 0:44:17 | |
it's not going to stop at medical staff? | 0:44:17 | 0:44:19 | |
I feel very similarly to how I felt in the late '80s when I saw | 0:44:19 | 0:44:22 | |
the internet for the first time, and I started looking into it, | 0:44:22 | 0:44:26 | |
and I started telling people, | 0:44:26 | 0:44:27 | |
"I think the internet's going to be used for all things." | 0:44:27 | 0:44:30 | |
When I look at deep learning, I see that...tenfold. | 0:44:30 | 0:44:34 | |
Jeremy is using technology to make his own work more efficient. | 0:44:39 | 0:44:44 | |
It turned out that at 0.8 miles per hour, | 0:44:46 | 0:44:50 | |
I could study for twice as long, | 0:44:50 | 0:44:53 | |
have half the errors and be twice as fast than no treadmill. | 0:44:53 | 0:44:58 | |
The next wave of technology could make work more efficient, | 0:44:59 | 0:45:04 | |
by removing us humans altogether. | 0:45:04 | 0:45:06 | |
People aren't scared enough, you know? | 0:45:07 | 0:45:11 | |
Far too many people are sounding like, smart people, | 0:45:11 | 0:45:15 | |
are sounding like climate change denialists. | 0:45:15 | 0:45:17 | |
They're saying, "Don't worry about it, there'll always be more jobs." | 0:45:17 | 0:45:21 | |
And it's founded on this purely historical thing of like, | 0:45:21 | 0:45:25 | |
"Oh, there's been a revolution before. | 0:45:25 | 0:45:26 | |
"It was called the Industrial Revolution, | 0:45:26 | 0:45:28 | |
"and after it there was still enough jobs. | 0:45:28 | 0:45:31 | |
"Therefore, this new, totally different, | 0:45:31 | 0:45:34 | |
"totally unrelated revolution will also have enough jobs." | 0:45:34 | 0:45:37 | |
It's a ludicrously short-sighted and meaningless argument, | 0:45:40 | 0:45:43 | |
which incredibly smart people are making. | 0:45:43 | 0:45:46 | |
The totally utopian and dystopian futures are like very clearly | 0:45:51 | 0:45:57 | |
in front of us. And very clearly we could head down to either. | 0:45:57 | 0:46:01 | |
Honestly, the status quo - | 0:46:01 | 0:46:04 | |
do nothing and we end up there - will definitely be a dystopia, | 0:46:04 | 0:46:08 | |
which is a tiny class of society owns all of the capital | 0:46:08 | 0:46:13 | |
and all of the data and everybody else has no economic value, | 0:46:13 | 0:46:18 | |
is despised by the class that has things because they're worthless, | 0:46:18 | 0:46:23 | |
and massive social unrest. | 0:46:23 | 0:46:25 | |
It's the first time, I think... | 0:46:32 | 0:46:33 | |
..I've felt party to this secret, | 0:46:35 | 0:46:38 | |
that other people here seem to know and seem to talk about, | 0:46:38 | 0:46:41 | |
whisper about, | 0:46:41 | 0:46:43 | |
but they sort of cover it up and don't really want to say what it's | 0:46:43 | 0:46:46 | |
going to be. He was very, very plain about what's happening. | 0:46:46 | 0:46:49 | |
This technology's exponentially improving, | 0:46:49 | 0:46:52 | |
it's going to change everything and we ought to be | 0:46:52 | 0:46:55 | |
pretty afraid about that. | 0:46:55 | 0:46:56 | |
And to actually hear that... | 0:46:56 | 0:46:59 | |
..by someone that knows about this stuff... | 0:47:00 | 0:47:02 | |
..is pretty revelatory. | 0:47:04 | 0:47:05 | |
I want to know how far those at the top of Silicon Valley | 0:47:09 | 0:47:13 | |
are really thinking about how automation | 0:47:13 | 0:47:16 | |
will change all our lives. | 0:47:16 | 0:47:18 | |
Finally, I've arranged to meet one of the tech gods themselves, | 0:47:21 | 0:47:26 | |
a man who wields huge power here behind the scenes. | 0:47:26 | 0:47:30 | |
Sam Altman is considered, | 0:47:31 | 0:47:33 | |
I think more than anybody else in Silicon Valley, | 0:47:33 | 0:47:35 | |
to be able to predict the future. | 0:47:35 | 0:47:37 | |
He's like a kingmaker in Silicon Valley. | 0:47:37 | 0:47:40 | |
He gets to choose what the big companies of tomorrow will be. | 0:47:40 | 0:47:44 | |
Having him support your tech start-up, | 0:47:44 | 0:47:48 | |
is considered to be one of the greatest badges of honour | 0:47:48 | 0:47:51 | |
that you can get in Silicon Valley. | 0:47:51 | 0:47:53 | |
Sam runs this place - Y Combinator. | 0:47:55 | 0:47:58 | |
A company that nurtures start-ups with money and advice. | 0:47:58 | 0:48:02 | |
Better not park in Sam Altman's place. | 0:48:03 | 0:48:05 | |
Its companies are now valued at 80 billion, | 0:48:05 | 0:48:08 | |
including its biggest success, Airbnb. | 0:48:08 | 0:48:12 | |
-Hi. -Nicole? -I'm Nicole. | 0:48:12 | 0:48:14 | |
-Hi, I'm Jamie. -Nice to meet you. | 0:48:14 | 0:48:16 | |
How are you doing? Nice to meet you. | 0:48:16 | 0:48:18 | |
-Thanks for having us. -So great to be here. | 0:48:18 | 0:48:20 | |
VOICEOVER: Sam's time is carefully allotted. | 0:48:20 | 0:48:22 | |
I just kind of wanted to go over the flow, | 0:48:24 | 0:48:26 | |
because Sam only has 35 minutes to meet with you today. | 0:48:26 | 0:48:29 | |
-Is he very busy? -Yeah. | 0:48:29 | 0:48:30 | |
So we can walk in and I can introduce you to everybody, | 0:48:30 | 0:48:32 | |
and then you can interview Sam on the couch for 35 minutes. | 0:48:32 | 0:48:36 | |
OK. | 0:48:36 | 0:48:38 | |
She's just setting up now. | 0:48:41 | 0:48:43 | |
Yeah? | 0:48:48 | 0:48:49 | |
-Welcome to Y Combinator. -Thank you for having us. | 0:48:55 | 0:48:58 | |
-Sam, I'm Jamie. -Very nice to meet you. | 0:49:00 | 0:49:02 | |
Nice to meet you. | 0:49:02 | 0:49:03 | |
Sam Altman co-founded his first business when he was 19. | 0:49:05 | 0:49:09 | |
After dropping out of university, | 0:49:10 | 0:49:12 | |
he sold it for more than 40 million. | 0:49:12 | 0:49:15 | |
He's now 32. | 0:49:15 | 0:49:17 | |
You're considered, I think, | 0:49:17 | 0:49:19 | |
in Silicon Valley as one of the people | 0:49:19 | 0:49:21 | |
that sees the future better than most. | 0:49:21 | 0:49:24 | |
So, what are you seeing? | 0:49:24 | 0:49:26 | |
A friend of mine says the best way to predict the future | 0:49:28 | 0:49:31 | |
is to invent it. | 0:49:31 | 0:49:33 | |
And that is a thought that has always stuck with me. | 0:49:33 | 0:49:35 | |
Sam is thinking hard about what the future could be like | 0:49:37 | 0:49:41 | |
after automation takes away the jobs of millions of us. | 0:49:41 | 0:49:44 | |
We're going to need to have new redistribution, | 0:49:46 | 0:49:48 | |
we're going to need to have new social safety nets. | 0:49:48 | 0:49:51 | |
One thing, one product that I'm funding | 0:49:51 | 0:49:52 | |
that we're doing at Y Combinator | 0:49:52 | 0:49:54 | |
is to study basic income, | 0:49:54 | 0:49:55 | |
and what happens if you just give people money to live on. | 0:49:55 | 0:50:00 | |
Because we have this world, we have huge wealth, | 0:50:00 | 0:50:03 | |
but it's very concentrated. | 0:50:03 | 0:50:04 | |
What happens if you just give people money and say, you know, | 0:50:04 | 0:50:07 | |
here's enough money to have a house and eat and to have fun? | 0:50:07 | 0:50:11 | |
Do you think people would find fulfilment and all the other things, | 0:50:11 | 0:50:16 | |
dignity in work for example, | 0:50:16 | 0:50:18 | |
under a system where there's a small number of very rich people | 0:50:18 | 0:50:24 | |
and they're being given money to... | 0:50:24 | 0:50:28 | |
..find things to do with their time? | 0:50:30 | 0:50:32 | |
I mean, it sounds pretty terrible, pretty terrifying to me. | 0:50:32 | 0:50:34 | |
You have a very pessimistic view of the future. | 0:50:34 | 0:50:37 | |
I hope you're wrong. I believe that someone, you know, | 0:50:37 | 0:50:40 | |
doing mechanical labour is not the best fulfilment | 0:50:40 | 0:50:44 | |
of their dreams and aspirations. | 0:50:44 | 0:50:45 | |
But the problem, I think, | 0:50:45 | 0:50:47 | |
or the thing that makes me pessimistic or nervous, | 0:50:47 | 0:50:49 | |
is that society will have to change dramatically, | 0:50:49 | 0:50:52 | |
and that's quite worrying. | 0:50:52 | 0:50:53 | |
Look, I believe society will have to change dramatically. | 0:50:53 | 0:50:55 | |
I think we've been through many of these before, | 0:50:55 | 0:50:57 | |
and, look, I understand that people have this spirit of, | 0:50:57 | 0:51:01 | |
"I'm going to hang onto the past at all costs, | 0:51:01 | 0:51:04 | |
"I hate progress and I hate change." | 0:51:04 | 0:51:06 | |
-But it's not that... -And I hear that from you, I get it. | 0:51:06 | 0:51:08 | |
It's not that. It's not hating progress. | 0:51:08 | 0:51:11 | |
What if the progress that you're, not just you, | 0:51:11 | 0:51:14 | |
but the community here's creating, is not what other people want? | 0:51:14 | 0:51:18 | |
There are 40 million people in the US that live in poverty. | 0:51:18 | 0:51:21 | |
If technology can eliminate human suffering... | 0:51:21 | 0:51:24 | |
..we should do that. If technology can generate more wealth | 0:51:25 | 0:51:28 | |
and we can figure out how to distribute that better, | 0:51:28 | 0:51:31 | |
we should do that. | 0:51:31 | 0:51:32 | |
I think it's an important job for journalists | 0:51:32 | 0:51:34 | |
to try to ask about the negative possibilities of this stuff. | 0:51:34 | 0:51:37 | |
I think if you continue this thrust of, shouldn't we stop progress, | 0:51:37 | 0:51:41 | |
no-one's going to take you seriously, | 0:51:41 | 0:51:43 | |
because people want this stuff, and people don't... | 0:51:43 | 0:51:45 | |
People don't think that we should still have people in poverty. | 0:51:45 | 0:51:48 | |
People don't think that we should take away our iPhones | 0:51:48 | 0:51:50 | |
and take away Facebook. | 0:51:50 | 0:51:52 | |
So I think you can add a really important voice, | 0:51:52 | 0:51:54 | |
but I worry you're going in the wrong direction with this, | 0:51:54 | 0:51:57 | |
like, anti-progress angle. | 0:51:57 | 0:51:59 | |
Orcas Island, north of Seattle. | 0:52:13 | 0:52:16 | |
The edge of American civilisation. | 0:52:18 | 0:52:20 | |
I'm here to meet one former Silicon Valley insider | 0:52:23 | 0:52:27 | |
who fears where technological progress could be taking us. | 0:52:27 | 0:52:30 | |
Whenever I talk to normals, which is what they call you people, | 0:52:32 | 0:52:35 | |
or normies, OK, I almost feel like saying, | 0:52:35 | 0:52:38 | |
"Look, I'm from the future, believe me. | 0:52:38 | 0:52:40 | |
"I just got off a time machine called | 0:52:40 | 0:52:42 | |
"the flight from San Francisco." | 0:52:42 | 0:52:44 | |
VOICEOVER: Antonio Garcia Martinez | 0:52:46 | 0:52:48 | |
was a product manager at Facebook before he quit Silicon Valley. | 0:52:48 | 0:52:53 | |
I've seen what the world will look like in five to ten years. | 0:52:53 | 0:52:56 | |
You may not believe it, but it's coming. | 0:52:56 | 0:52:59 | |
And it's coming in the form of a self-driving truck | 0:52:59 | 0:53:02 | |
that's about to run you over. | 0:53:02 | 0:53:03 | |
How worried are you about this? | 0:53:03 | 0:53:05 | |
Oh, horribly, why do you think I'm here? | 0:53:05 | 0:53:07 | |
Why are we here? | 0:53:07 | 0:53:09 | |
In the ass end of the Northwest? | 0:53:09 | 0:53:10 | |
It's going to destroy the world. | 0:53:10 | 0:53:12 | |
So, this is it? | 0:53:24 | 0:53:25 | |
This is it. | 0:53:25 | 0:53:27 | |
So this is sort of the general area, this is my utility thing over here, | 0:53:27 | 0:53:30 | |
where I store a bunch of stuff. | 0:53:30 | 0:53:31 | |
That's going to be the future house site that we just walked through. | 0:53:31 | 0:53:34 | |
By the way, this is the throne room right here. | 0:53:34 | 0:53:36 | |
Composting bucket toilet for now. | 0:53:36 | 0:53:37 | |
Why did you choose this particular plot of land? | 0:53:37 | 0:53:39 | |
Because nobody knows about it. | 0:53:39 | 0:53:41 | |
Canada is a swim or a kayak's ride away if necessary. | 0:53:41 | 0:53:45 | |
Ideal climate, big community, self-sustaining food production. | 0:53:45 | 0:53:49 | |
And defensibility, in the case of things fragmenting for a while. | 0:53:50 | 0:53:53 | |
The AR15, the civilian version of the M4, | 0:53:58 | 0:54:02 | |
the standard issue service weapon of the US military. | 0:54:02 | 0:54:05 | |
-Is it loaded? -Well, I don't know. | 0:54:08 | 0:54:10 | |
Jesus. | 0:54:11 | 0:54:12 | |
If things go bad in the future, what... | 0:54:18 | 0:54:22 | |
Is this going to be what you need? | 0:54:22 | 0:54:23 | |
Of course. In the post-America, | 0:54:24 | 0:54:26 | |
the 5.56 millimetre round will be the currency of the new America, | 0:54:26 | 0:54:30 | |
I guarantee you. | 0:54:30 | 0:54:31 | |
This is the tipi clearing, | 0:54:36 | 0:54:37 | |
this is a traditional Lakota Sioux tipi and we're going to | 0:54:37 | 0:54:41 | |
put this up today. | 0:54:41 | 0:54:42 | |
Why is it wobbling so much? | 0:54:49 | 0:54:51 | |
Back it up, back it up, right, right. | 0:54:51 | 0:54:52 | |
You might think it's silly that I have AR15s | 0:54:54 | 0:54:56 | |
and a well and solar panels, | 0:54:56 | 0:54:57 | |
but what do you have in the case of a crisis? | 0:54:57 | 0:54:59 | |
You're just betting that it doesn't happen, right? | 0:54:59 | 0:55:01 | |
-Yeah. -And as we used to say at Goldman Sachs, | 0:55:01 | 0:55:03 | |
hope is a shitty hedge. | 0:55:03 | 0:55:05 | |
You have hope, that's all you have, you have hope. | 0:55:05 | 0:55:07 | |
Hope is a shitty hedge. | 0:55:07 | 0:55:08 | |
OK, OK, come over towards me. | 0:55:11 | 0:55:12 | |
So you think there are some people that are kind of in Silicon Valley, | 0:55:14 | 0:55:18 | |
-doing this too? -Oh, absolutely, I'm not the only one. | 0:55:18 | 0:55:20 | |
-I'm not unique in any way. -I wonder what other people in Silicon Valley | 0:55:20 | 0:55:25 | |
-might be doing. -They have their own hideaways, | 0:55:25 | 0:55:27 | |
they buy land in other places and they've got a bunch of guns | 0:55:27 | 0:55:29 | |
and wells and all the rest of it. | 0:55:29 | 0:55:31 | |
It's kind of like this, maybe a little less rustic, | 0:55:31 | 0:55:33 | |
a little less hippie, but very similar. | 0:55:33 | 0:55:35 | |
But, hang on, I mean it sounds a little bit selfish... | 0:55:35 | 0:55:38 | |
..because what about the rest of us? | 0:55:39 | 0:55:41 | |
Life is short and we all die alone, I mean, there it is. | 0:55:41 | 0:55:43 | |
Silicon Valley is unleashing the next wave of disruption, | 0:55:45 | 0:55:49 | |
without knowing for sure whether the world will be made better | 0:55:49 | 0:55:53 | |
as a result. | 0:55:53 | 0:55:54 | |
What is at stake? | 0:55:57 | 0:55:59 | |
Well, I mean, there's 300 million guns in this country, | 0:55:59 | 0:56:02 | |
one for every man, woman and child, right? | 0:56:02 | 0:56:04 | |
And they're mostly in the hands of those | 0:56:04 | 0:56:06 | |
who are getting economically displaced. | 0:56:06 | 0:56:09 | |
There could be a violent revolt. | 0:56:09 | 0:56:10 | |
Why are you kind of speaking out about any of this stuff? | 0:56:20 | 0:56:24 | |
Well, because it's the only real debt | 0:56:26 | 0:56:27 | |
that I think technologists have. | 0:56:27 | 0:56:29 | |
Not enough of them are actually speaking out | 0:56:29 | 0:56:31 | |
and actually informing the general public. | 0:56:31 | 0:56:33 | |
You don't realise, we are in a race between technology and politics, | 0:56:33 | 0:56:37 | |
and the technologists are winning, they are way ahead. | 0:56:37 | 0:56:39 | |
They will destroy jobs and disrupt economies | 0:56:39 | 0:56:42 | |
way before we even react to them. | 0:56:42 | 0:56:43 | |
And what we really should be thinking is about that. | 0:56:43 | 0:56:46 | |
Preparing a survival plan IS extreme. | 0:56:53 | 0:56:56 | |
The coming wave of disruption COULD bring great benefits. | 0:56:58 | 0:57:02 | |
But there's a risk Silicon Valley's promise to build a better world | 0:57:03 | 0:57:07 | |
could inflict a nightmare future on millions of us. | 0:57:07 | 0:57:11 | |
Politics, in the end, has to be able to take control of this technology, | 0:57:12 | 0:57:18 | |
regulate it somehow, slow it down if that's what people want, | 0:57:18 | 0:57:23 | |
but make sure that the technology is being built for people, | 0:57:23 | 0:57:28 | |
in a way that people want, in a way that society wants, | 0:57:28 | 0:57:31 | |
and not just in the interests... | 0:57:31 | 0:57:33 | |
..of the tiny number of incredibly rich people | 0:57:35 | 0:57:39 | |
from the West Coast of America. | 0:57:39 | 0:57:41 | |
How did Silicon Valley become so influential? | 0:57:48 | 0:57:51 | |
The Open University has produced an interactive timeline | 0:57:51 | 0:57:55 | |
exploring the history of this place. | 0:57:55 | 0:57:57 | |
To find out more, visit... | 0:57:57 | 0:57:59 | |
..and follow the links to the Open University. | 0:58:03 | 0:58:05 |